Variable precision rough set model for attribute selection on environment impact dataset
The investigation of environment impact have important role to development of a city. The application of the artificial intelligence in form of computational models can be used to analyze the data. One of them is rough set theory. The utilization of data clustering method, which is a part of rough s...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Ahmad Dahlan
2018-03-01
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| Series: | IJAIN (International Journal of Advances in Intelligent Informatics) |
| Subjects: | |
| Online Access: | http://ijain.org/index.php/IJAIN/article/view/109 |
| _version_ | 1819168897522204672 |
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| author | Ani Apriani Iwan Tri Riyadi Yanto Septiana Fathurrohmah Sri Haryatmi Danardono Danardono |
| author_facet | Ani Apriani Iwan Tri Riyadi Yanto Septiana Fathurrohmah Sri Haryatmi Danardono Danardono |
| author_sort | Ani Apriani |
| collection | DOAJ |
| description | The investigation of environment impact have important role to development of a city. The application of the artificial intelligence in form of computational models can be used to analyze the data. One of them is rough set theory. The utilization of data clustering method, which is a part of rough set theory, could provide a meaningful contribution on the decision making process. The application of this method could come in term of selecting the attribute of environment impact. This paper examine the application of variable precision rough set model for selecting attribute of environment impact. This mean of minimum error classification based approach is applied to a survey dataset by utilizing variable precision of attributes. This paper demonstrates the utilization of variable precision rough set model to select the most important impact of regional development. Based on the experiment, The availability of public open space, social organization and culture, migration and rate of employment are selected as a dominant attributes. It can be contributed on the policy design process, in term of formulating a proper intervention for enhancing the quality of social environment. |
| first_indexed | 2024-12-22T19:10:54Z |
| format | Article |
| id | doaj.art-759fcc6a6a3946859dbd3895a50a3dd8 |
| institution | Directory Open Access Journal |
| issn | 2442-6571 2548-3161 |
| language | English |
| last_indexed | 2024-12-22T19:10:54Z |
| publishDate | 2018-03-01 |
| publisher | Universitas Ahmad Dahlan |
| record_format | Article |
| series | IJAIN (International Journal of Advances in Intelligent Informatics) |
| spelling | doaj.art-759fcc6a6a3946859dbd3895a50a3dd82022-12-21T18:15:40ZengUniversitas Ahmad DahlanIJAIN (International Journal of Advances in Intelligent Informatics)2442-65712548-31612018-03-0141707510.26555/ijain.v4i1.10986Variable precision rough set model for attribute selection on environment impact datasetAni Apriani0Iwan Tri Riyadi Yanto1Septiana Fathurrohmah2Sri Haryatmi3Danardono Danardono4Department of Geology Engineering, STTNAS, YogyakartaDepartment of Information System, Universitas Ahmad DahlanDepartment of Urban and Regional Planning, STTNAS, YogyakartaDepartment of Mathematics, Universitas Gadjah Mada, YogyakartaDepartment of Mathematics, Universitas Gadjah Mada, YogyakartaThe investigation of environment impact have important role to development of a city. The application of the artificial intelligence in form of computational models can be used to analyze the data. One of them is rough set theory. The utilization of data clustering method, which is a part of rough set theory, could provide a meaningful contribution on the decision making process. The application of this method could come in term of selecting the attribute of environment impact. This paper examine the application of variable precision rough set model for selecting attribute of environment impact. This mean of minimum error classification based approach is applied to a survey dataset by utilizing variable precision of attributes. This paper demonstrates the utilization of variable precision rough set model to select the most important impact of regional development. Based on the experiment, The availability of public open space, social organization and culture, migration and rate of employment are selected as a dominant attributes. It can be contributed on the policy design process, in term of formulating a proper intervention for enhancing the quality of social environment.http://ijain.org/index.php/IJAIN/article/view/109EnvironmentVPRSError classificationAttribute selection |
| spellingShingle | Ani Apriani Iwan Tri Riyadi Yanto Septiana Fathurrohmah Sri Haryatmi Danardono Danardono Variable precision rough set model for attribute selection on environment impact dataset IJAIN (International Journal of Advances in Intelligent Informatics) Environment VPRS Error classification Attribute selection |
| title | Variable precision rough set model for attribute selection on environment impact dataset |
| title_full | Variable precision rough set model for attribute selection on environment impact dataset |
| title_fullStr | Variable precision rough set model for attribute selection on environment impact dataset |
| title_full_unstemmed | Variable precision rough set model for attribute selection on environment impact dataset |
| title_short | Variable precision rough set model for attribute selection on environment impact dataset |
| title_sort | variable precision rough set model for attribute selection on environment impact dataset |
| topic | Environment VPRS Error classification Attribute selection |
| url | http://ijain.org/index.php/IJAIN/article/view/109 |
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